Sen-Lin Zhou

744 total citations
7 papers, 265 citations indexed

About

Sen-Lin Zhou is a scholar working on Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sen-Lin Zhou has authored 7 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sen-Lin Zhou's work include Cancer therapeutics and mechanisms (3 papers), Bioactive Compounds and Antitumor Agents (1 paper) and Advancements in Transdermal Drug Delivery (1 paper). Sen-Lin Zhou is often cited by papers focused on Cancer therapeutics and mechanisms (3 papers), Bioactive Compounds and Antitumor Agents (1 paper) and Advancements in Transdermal Drug Delivery (1 paper). Sen-Lin Zhou collaborates with scholars based in United States, Chile and India. Sen-Lin Zhou's co-authors include Krishna Rao Maddipati, Kenneth V. Honn, Andrew R. Hsu, Ashok K. Dilly, Stephanie C. Tucker, Craig N. Giroux, Wenliang Zhang, Prasanna Ekambaram, Yinlong Cai and Jingjing Liu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Lipid Research and International Journal of Pharmaceutics.

In The Last Decade

Sen-Lin Zhou

6 papers receiving 261 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sen-Lin Zhou United States	6	97	70	39	38	38	7	265
A K Okwu United States	8	204 2.1×	75 1.1×	20 0.5×	94 2.5×	27 0.7×	8	358
John J. Acton United States	10	282 2.9×	52 0.7×	8 0.2×	66 1.7×	24 0.6×	18	409
Ben J. Murray United Kingdom	10	194 2.0×	29 0.4×	40 1.0×	10 0.3×	9 0.2×	17	366
Aikaterini Nikolaou Greece	9	196 2.0×	21 0.3×	8 0.2×	44 1.2×	26 0.7×	12	329
Mujing Yan United States	9	124 1.3×	15 0.2×	10 0.3×	45 1.2×	38 1.0×	10	332
Hisanao Kishimoto Japan	14	85 0.9×	17 0.2×	72 1.8×	12 0.3×	14 0.4×	31	339
Heinz‐Werner Kleemann Germany	9	164 1.7×	32 0.5×	12 0.3×	16 0.4×	9 0.2×	16	370
Vladimir Mastyugin United States	8	172 1.8×	167 2.4×	8 0.2×	86 2.3×	26 0.7×	12	427
Daniel LaSala United States	11	202 2.1×	26 0.4×	8 0.2×	30 0.8×	38 1.0×	17	454
Chuncao Xu China	10	169 1.7×	19 0.3×	23 0.6×	14 0.4×	14 0.4×	12	315

Countries citing papers authored by Sen-Lin Zhou

Since Specialization

Citations

This map shows the geographic impact of Sen-Lin Zhou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sen-Lin Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen-Lin Zhou more than expected).

Fields of papers citing papers by Sen-Lin Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sen-Lin Zhou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sen-Lin Zhou. The network helps show where Sen-Lin Zhou may publish in the future.

Co-authorship network of co-authors of Sen-Lin Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Sen-Lin Zhou. A scholar is included among the top collaborators of Sen-Lin Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sen-Lin Zhou. Sen-Lin Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

Zhou, Sen-Lin, et al.. (2023). A prognostic model for interventional thrombectomy in patients with acute ischemic stroke based on a BP neural network, random forest model and decision tree model.. PubMed. 15(5). 3290–3299.

Maddipati, Krishna Rao, Roberto Romero, Tinnakorn Chaiworapongsa, et al.. (2016). Clinical chorioamnionitis at term: the amniotic fluid fatty acyl lipidome. Journal of Lipid Research. 57(10). 1906–1916. 42 indexed citations

Guo, Yande, Wenliang Zhang, Craig N. Giroux, et al.. (2011). Identification of the Orphan G Protein-coupled Receptor GPR31 as a Receptor for 12-(S)-Hydroxyeicosatetraenoic Acid. Journal of Biological Chemistry. 286(39). 33832–33840. 151 indexed citations

Boinpally, Ramesh, et al.. (2004). Iontophoresis of lecithin vesicles of cyclosporin A. International Journal of Pharmaceutics. 274(1-2). 185–190. 43 indexed citations

Boinpally, Ramesh, Sen-Lin Zhou, Patricia LoRusso, & Ralph E. Parchment. (2004). Bioavailability and pharmacokinetics of the investigational anticancer agent XK469 (NSC 698215) in rats following oral and intravenous administration. Cancer Chemotherapy and Pharmacology. 55(4). 404–407. 6 indexed citations

Boinpally, Ramesh, Lisa Polin, Sen-Lin Zhou, et al.. (2003). Pharmacokinetics and tissue distribution of cryptophycin 52 (C-52) epoxide and cryptophycin 55 (C-55) chlorohydrin in mice with subcutaneous tumors. Cancer Chemotherapy and Pharmacology. 52(1). 25–33. 6 indexed citations

Poondru, Srinivasu, Sen-Lin Zhou, James Rake, et al.. (2001). High-performance liquid chromatographic method for the estimation of the novel investigational anti-cancer agent SR271425 and its metabolites in mouse plasma. Journal of Chromatography B Biomedical Sciences and Applications. 759(1). 175–178. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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